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Unless otherwise indicated, these slides are © 2013-2014 Pivotal Software, Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Unless otherwise indicated, these slides are © 2013-2014 Pivotal Software, Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ GAINING APPLICATION LIFECYCLE INTELLIGENCE WITH SPLUNK By Damien Dallimore , Dev Evangelist @ Splunk

Gaining Application Lifecycle Intelligence

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Speaker, Damien Dallimore - Splunk Applied Spring Track Today we are facing an ever-increasing speed of product delivery. DevOps practices like continuous integration and deployment increase the dependence of systems like task tracking and source code repositories with build servers and test suites. With data moving rapidly through these different tools, it becomes challenging to maintain a grasp of the process, especially as the data is distributed and in a variety of formats. But it is still critical to maintain full visibility of the product development journey – from user stories to production data. By starting at the beginning of the Product Development Lifecycle, you can track a problem in production all the way back to the code that was checked into the build and the developer responsible for the code. In this session I'll demonstrate some of the ways in which Splunk software can be used to collect and correlate data throughout the various stages of the lifecycle of your code, to ultimately make you more efficient and make your code better.

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Page 1: Gaining Application Lifecycle Intelligence

Unless otherwise indicated, these slides are © 2013-2014 Pivotal Software, Inc. and licensed under a

Creative Commons Attribution-NonCommercial l icense: http://creativecommons.org/licenses/by-nc/3.0/

Unless otherwise indicated, these slides are © 2013-2014 Pivotal Software, Inc. and licensed under a

Creative Commons Attribution-NonCommercial l icense: http://creativecommons.org/licenses/by-nc/3.0/

GAINING APPLICATION LIFECYCLE

INTELLIGENCE WITH SPLUNK

By Damien Dallimore , Dev Evangelist @ Splunk

Page 2: Gaining Application Lifecycle Intelligence

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Who am I ?

2

Page 3: Gaining Application Lifecycle Intelligence

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From Middle Earth

Make things

JVM background

Page 4: Gaining Application Lifecycle Intelligence

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Page 5: Gaining Application Lifecycle Intelligence

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apps.splunk.com

github.com/damiendallimore

Page 6: Gaining Application Lifecycle Intelligence

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Agenda

6

Page 7: Gaining Application Lifecycle Intelligence

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Overview of Splunk and build a simple app

How Splunk can help in the Application Development Lifecycle

Various ways to get data into Splunk and demos

Page 8: Gaining Application Lifecycle Intelligence

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Data Data Everywhere

8

VOLUME

VARIETY

VERACITY

VELOCITY

Page 9: Gaining Application Lifecycle Intelligence

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How can Splunk help ?

Page 10: Gaining Application Lifecycle Intelligence

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Spelunking

10

Page 11: Gaining Application Lifecycle Intelligence

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Platform for machine data

11

Splunk storage Other Big Data stores

DeveloperPlatform

Data collection

and indexing

Report and

analyze

Custom dashboards

Monitor and alert

Ad hoc search

Page 12: Gaining Application Lifecycle Intelligence

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DeveloperPlatform

Report and

analyze

Custom dashboards

Monitor and alert

Ad hoc search

Platform for machine data

12

Splunk storage Other Big Data stores

Data

collection

and indexing

Any amount, any location, any source.Schema at read time, not write time

Data in any format

No RDBMS

Very Extensible

Page 13: Gaining Application Lifecycle Intelligence

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What Does Machine Data Look Like?

13

Sources

Twitter

Care IVR

Middleware Error

Order Processing

Page 14: Gaining Application Lifecycle Intelligence

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Machine Data Contains Critical Insights

14

Customer ID Order ID

Customer’s Tweet

Time Waiting On Hold

Twitter ID

Product ID

Company’s Twitter ID

Sources

Twitter

Care IVR

Middleware Error

Order Processing

Customer IDOrder ID

Customer ID

Page 15: Gaining Application Lifecycle Intelligence

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Machine Data Contains Critical Insights

15

Order ID

Customer’s Tweet

Time Waiting On Hold

Product ID

Company’s Twitter ID

Sources

Twitter

Care IVR

Middleware Error

Order Processing

Order ID

Customer ID

Twitter ID

Customer ID

Customer ID

Page 16: Gaining Application Lifecycle Intelligence

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How are we best

going wrangle this

data ?

Page 17: Gaining Application Lifecycle Intelligence

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Release the Developers

17

Page 18: Gaining Application Lifecycle Intelligence

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Very Extensible Platform for Developers

18

REST API

Build Splunk Apps Extend and Integrate Splunk

Simple XML

JavaScript

Django

Web

FrameworkJava

JavaScript

Python

Ruby

C#

PHP

Data Models

Search

Extensibility

Modular Inputs

SDKs

Page 19: Gaining Application Lifecycle Intelligence

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Lets build something simple

19

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Simple Swarm App (ex Foursquare)

20

Get my actual checkin data in via REST

Search over this data

Visualize

Page 21: Gaining Application Lifecycle Intelligence

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Application Lifecycle Data

21

Page 22: Gaining Application Lifecycle Intelligence

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BuildUnit Testing

Code

Check-inIntegration

Testing Deploy

Staging

22

Application Development Challenges

Lack of visibility across the product

development lifecycle

Pressure to increase velocity and

agility with DevOps

Limited insights into behavior and

performance from application logs

Page 23: Gaining Application Lifecycle Intelligence

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Quickly trace and identify errors anywhere

in the codebase with real-time search

and monitoring

Instrument your app logs to gain application intelligence

Break down dev tool silos with real-time

insights from machine data

GAIN END-TO-END VISIBILITY

ACROSS THE DEV TOOL CHAIN

FIND AND FIX

ISSUES FASTER

PUSH BETTER

CODE USING

ANALYTICS

Splunk for Application Lifecycle Intelligence

23

Page 24: Gaining Application Lifecycle Intelligence

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Real-time dashboards show error

rate in production and impact of

pushing new builds

Developers can search and

visualize web logs, Java logs—

without production access

Alerts notify developers as soon as

a problem arises

24

Find and Fix Issues Faster

Page 25: Gaining Application Lifecycle Intelligence

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Gain end-to-end visibility to make

informed decisions

Analytics insights without the need

for additional analytics tools

Ask questions while exploring and

collecting data

void submitPurchase(purchaseId){

log.info("action=submitPurchaseSt

art, purchaseId=%d", purchaseId)

//these calls throw an exception on error

submitToCreditCard(...)

generateInvoice(...)

generateFullfillmentOrder(...)

log.info("action=submitPurchaseCo

mpleted, purchaseId=%d", purchaseId)

}

25

Push Better Code Using Analytics

Page 26: Gaining Application Lifecycle Intelligence

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End-To-End Visibility Across The Dev Tool Chain

26

CI / Build

Servers

Project and

Issue Tracking

Code

Repository

QA / Testing

ToolsDeployment

Servers

Page 27: Gaining Application Lifecycle Intelligence

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App Development Lifecycle Demo

27

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Getting your data into Splunk

28

Page 29: Gaining Application Lifecycle Intelligence

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Log DataLog Files

Splunk Logging Appenders

CodingSplunk Java SDK

Splunk Spring Integration Adaptors

JMX

MessagingJMS

AMQP w/Rabbit

Page 30: Gaining Application Lifecycle Intelligence

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Log Data

30

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Standard Log Files

31

Oct 21, 2013 4:42:15 PM org.apache.catalina.startup.Catalina load

INFO: Initialization processed in 1153 ms

Oct 21, 2013 4:42:15 PM org.apache.catalina.core.StandardService startInternal

INFO: Starting service Catalina

Application logs that are part of the product

Developer logs for any code that was deployed

Written to local disk or network storage

Page 32: Gaining Application Lifecycle Intelligence

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Structured and Unstructured Data

32

Ideally events are in a best practice semantic format

key=value format , JSON

You can perform index time and search time extractions in Splunk

Page 33: Gaining Application Lifecycle Intelligence

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Logging best practices

33

Clearly timestamp every event , human readable at beginning of line

Log in text , binary needs decoding

Categorize – Use INFO, WARN, ERROR, DEBUG, Event type etc...

Log unique identifiers

Log anything that can add value when aggregated, charted or further

2012-08-07 15:54:06:644+1200 name="Failed Login" event_id="someID" app="myapp" user="jane" somefieldname="foobar"

Page 34: Gaining Application Lifecycle Intelligence

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SplunkJavaLogging

34

Sometimes you can’t write to file

Appenders for Java Util Logging , Log4J , Logback

Simply add a logging appender to your logging configuration

file

Page 35: Gaining Application Lifecycle Intelligence

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LogBack Appender Example

35

Page 36: Gaining Application Lifecycle Intelligence

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Code

36

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Better Exception Logging

37

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Easier to work with in Splunk

38

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Coding

39

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Splunk SDK for Java

40

Use the SDK from any JVM Language , Java / Groovy / Scala etc….

Send log events via REST , UDP or TCP directly to Splunk from your

code

Search over data in Splunk

SDK available from dev.splunk.com

Page 41: Gaining Application Lifecycle Intelligence

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Page 42: Gaining Application Lifecycle Intelligence

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Spring Integration Adaptors

42

Inbound Adapter

Used to execute Splunk searches and get data out

Outbound Adapter

Write data to Splunk via REST, TCP , UDP

Write to a named index, submit a REST request, write to a data input bound

to a server TCP port

Get the code on Github

Page 43: Gaining Application Lifecycle Intelligence

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Inbound Adaptor

43

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Outbound Adaptor

44

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JMX

45

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What is JMX

46

JMX = Java Management Extensions

Monitor JVM via MBean attributes , operations and

notifications

JVM MBeans

Vendor MBeans

Custom Coded MBeans

Page 47: Gaining Application Lifecycle Intelligence

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Getting this data into Splunk

47

Runs on all supported Splunk platforms

Works with all main JVM variants

100% Free and Open Source

Page 48: Gaining Application Lifecycle Intelligence

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Simple to Configure

48

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Many Connectivity Options

49

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Messaging

50

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JMS

51

Not a messaging protocol , but a programming interface to many

different underlying message providers

WebsphereMQ , Tibco EMS , ActiveMQ , HornetQ , SonicMQ etc…

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AMQP

52

Built with Rabbit Java Client Library

AMQP 0.9.1, 0.9, 0.8

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But wait , there’s more…..

53

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Poll data from any REST API

Pull data directly off the wire

Capture output from executing any commands

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Closer look at capturing command output

55

Let’s see what the host Operating System can tell us : top

External programs that provide additional JVM insights : jstat

Index this data in Splunk and correlate

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top

56

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jstat

58

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Splunk options galore

61

Splunk> Enterprise : Free to download and use. Index 500 MB/day.

Splunk> Cloud : Premium, cloud hosted. Full Enterprise stack.100% uptime.

Splunk> AMI : BYOL versions for Amazon AWS Cloud.

Splunk> Sandbox : Spin up a cloud instance in minutes.Load in data.

Hunk> : Splunk for data in Hadoop HDFS , MongoDB

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More Info

62

Splunk Docs , Downloads , Vids : http://www.splunk.com

Download Splunk Apps : http://apps.splunk.com

Ask : http://answers.splunk.com

Watch the App Dev / Devops Video : http://www.splunk.com/goto/appdev

Splunk Developer Platform : http://dev.splunk.com

Splunk on Github : https://github.com/splunk

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Thankyou.

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Questions ?@damiendallimore

[email protected]